Real-time hand gesture recognition based on deep learning YOLOv3 model

A Mujahid, MJ Awan, A Yasin, MA Mohammed… - Applied Sciences, 2021 - mdpi.com
Using gestures can help people with certain disabilities in communicating with other people.
This paper proposes a lightweight model based on YOLO (You Only Look Once) v3 and …

Audio-visual speech and gesture recognition by sensors of mobile devices

D Ryumin, D Ivanko, E Ryumina - Sensors, 2023 - mdpi.com
Audio-visual speech recognition (AVSR) is one of the most promising solutions for reliable
speech recognition, particularly when audio is corrupted by noise. Additional visual …

Automatic translation of sign language with multi-stream 3D CNN and generation of artificial depth maps

GZ De Castro, RR Guerra, FG Guimaraes - Expert Systems with …, 2023 - Elsevier
Sign languages play an essential role in the cognitive and social development of the deaf,
consisting of a natural form of communication and being a symbol of identity and culture …

Recent advances of deep learning for sign language recognition

L Zheng, B Liang, A Jiang - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
To assist the social interaction of deaf and hearing impaired people, efficient interactive
communication tools is expected. With the growing research interest in action and gesture …

Sign language: a systematic review on classification and recognition

S Renjith, R Manazhy - Multimedia Tools and Applications, 2024 - Springer
Sign language serves as an alternative communication mode for those with limitations in
hearing and speaking abilities. In India, an estimated population of around 2.7 million …

Helping hearing-impaired in emergency situations: A deep learning-based approach

QM Areeb, M Nadeem, R Alroobaea, F Anwer - IEEE Access, 2022 - ieeexplore.ieee.org
Hearing-impaired people use sign language to express their thoughts and emotions and
reinforce information delivered in daily conversations. Though they make a significant …

[PDF][PDF] A Novel Machine Learning-Based Hand Gesture Recognition Using HCI on IoT Assisted Cloud Platform.

S Adhikari, TK Gangopadhayay, S Pal… - … Systems Science & …, 2023 - cdn.techscience.cn
Machine learning is a technique for analyzing data that aids the construction of
mathematical models. Because of the growth of the Internet of Things (IoT) and wearable …

Authorized traffic controller hand gesture recognition for situation-aware autonomous driving

A Mishra, J Kim, J Cha, D Kim, S Kim - Sensors, 2021 - mdpi.com
An authorized traffic controller (ATC) has the highest priority for direct road traffic. In some
irregular situations, the ATC supersedes other traffic control. Human drivers indigenously …

Hand gesture recognition with symmetric pattern under diverse illuminated conditions using artificial neural network

M Haroon, S Altaf, S Ahmad, M Zaindin, S Huda… - Symmetry, 2022 - mdpi.com
This paper investigated the effects of variant lighting conditions on the recognition process.
A framework is proposed to improve the performance of gesture recognition under variant …

Enhancing Brazilian Sign Language Recognition through Skeleton Image Representation

CEGR Alves, FDA Boldt… - 2024 37th SIBGRAPI …, 2024 - ieeexplore.ieee.org
Effective communication is paramount for the inclusion of deaf individuals in society.
However, persistent communication barriers due to limited Sign Language (SL) knowledge …